An improved fuzzy cellular neural network (IFCNN) for an edge detection based on parallel RK(5, 6) approach. Issue 1 (1st January 2012)

• Record Type: Journal Article
• Authors: Senthilkumar, Sukumar; Piah, Abd Rahni Mt
• Is Part Of: International journal of computational systems engineering. Volume 1:Issue 1(2012)
• Page Start: 70
• Page End: 78
• Publication Date: 2012-01-01
• Subjects: parallel 5-order 6-stage numerical integration techniques -- improved fuzzy cellular neural network -- single layer/raster -- edge detection -- simulation -- ordinary differential equations -- ODEs; Computer science -- Periodicals; Electronic data processing -- Periodicals; System analysis -- Periodicals; 003.3
• Languages: English
• ISSNs: 2046-3391

Abstract

Parallel RK(5, 6) algorithms are employed to validate the potential behaviour under improved fuzzy cellular neural network paradigm for an edge detection problem is the novelty of this paper. The function of the simulator is capable of performing raster fuzzy cellular neural network simulation for any kind as well as any size of input image. The raster pseudo code exploits the latency properties of improved fuzzy cellular neural network coupled with different parallel numerical integration algorithms. Results provide a better understanding about single layer/raster behaviour simulation.